feat(conda): add conda environment management with Windows compatibility

[jasonnator]

Summary

Add comprehensive conda environment management for both app-level and project-level Python environments, with full Windows compatibility.

Note: This PR supersedes #965, which was closed due to merge conflicts and missing test coverage. This version includes a clean merge with develop, comprehensive tests (399 total), and all i18n/type issues resolved.

Key Features

• Conda Detection Service: OS-specific detection of miniconda, anaconda, mambaforge, miniforge installations with caching
• Environment Manager: Create, verify, and manage conda environments with Python version auto-detection from requirements.txt, pyproject.toml, environment.yml
• Project Structure Detection: Intelligent detection of pure Python, mixed (dotnet+python), and monorepo projects to place .envs in the correct location
• Cross-Platform Activation: PowerShell, CMD, and bash activation scripts with dynamic path resolution
• Terminal Integration: Auto-activate conda environments when opening terminals for projects
• VS Code Integration: Generated workspace files and init scripts for seamless VS Code experience
• Setup Wizard UI: Multi-step stepper with progress tracking and expandable logs

Windows Compatibility Fixes

• Added windowsHide: true to all spawn calls (~20 files) to prevent console window popups
• Fixed PowerShell command syntax (; instead of &&, $env:PATH instead of PATH=)
• Platform-aware shell escaping (doubled quotes for PowerShell vs backslash for bash)
• Skip unnecessary PATH modifications to avoid massive terminal output

Files Changed

• 11 new files: conda-detector, conda-env-manager, conda-workspace-generator, conda-project-structure, conda-handlers, CondaSetupWizard, CondaDetectionDisplay, PythonEnvSettings, useCondaSetup hook, python-path-utils, types
• ~35 modified files: Terminal integration, settings UI, IPC handlers, i18n translations

Test Plan

• 399 unit tests covering all new functionality
  • Core logic: 182 tests (detection, env management, project structure, paths)
  • UI components: 150 tests (wizard, detection display, settings)
  • IPC handlers: 40 tests
  • Terminal activation: 27 tests
• TypeScript passes with no errors
• ESLint passes
• All pre-commit hooks pass
• Synced with latest develop branch

Manual Testing

• Conda detection on Windows with miniconda3
• Environment creation with Python version auto-detection
• Terminal auto-activation with PowerShell
• VS Code workspace file generation
• Settings persistence across navigation

Breaking Changes

None - this is a new feature with no changes to existing APIs.

---

🤖 Generated with Claude Code

Summary by CodeRabbit

• New Features

  • User feedback integration in build process with marking and prompt awareness
  • Multi-provider Git support (GitHub/GitLab auto-detection)
  • Conda environment management (detection, creation, activation scripts)
  • Roadmap generation with discovery and feature prioritization phases
  • GitLab merge request workflow support
  • Shell API for terminal operations

• Bug Fixes

  • Fixed worktree corruption in git environments
  • Enhanced Windows/PowerShell compatibility

• Documentation

  • Added investigation guide for subtask display issues
  • Added Git provider configuration documentation
  • Added roadmap feature documentation

_{✏️ Tip: You can customize this high-level summary in your review settings.}

[coderabbitai]

Note

Other AI code review bot(s) detected

CodeRabbit has detected other AI code review bot(s) in this pull request and will avoid duplicating their findings in the review comments. This may lead to a less comprehensive review.

📝 Walkthrough

Walkthrough

This PR introduces comprehensive Conda environment management across frontend and backend, implements multi-provider Git support (GitHub/GitLab) with auto-detection, integrates user feedback into the planning process, enhances Windows/PowerShell compatibility, and investigates a subtask rendering issue with proposed solutions.

Changes

Cohort / File(s)	Summary
Conda Environment Management (Frontend - Detection & Setup) apps/frontend/src/main/conda-detector.ts, apps/frontend/src/main/conda-env-manager.ts, apps/frontend/src/main/conda-project-structure.ts, apps/frontend/src/main/conda-workspace-generator.ts	New Conda detection with caching and OS-aware search paths; environment creation with progress streaming; dependency installation; project structure analysis (pure Python vs. mixed); VS Code workspace and activation script generation; gitignore management.
Conda Environment IPC & API Integration apps/frontend/src/main/ipc-handlers/conda-handlers.ts, apps/frontend/src/preload/api/modules/conda-api.ts, apps/frontend/src/preload/api/index.ts, apps/frontend/src/preload/api/modules/shell-api.ts	Comprehensive IPC handler registration for detection, app/project-level setup, validation, deletion, and script regeneration; typed CondaAPI exposing all operations to renderer; ShellAPI integration; progress event streaming.
Python Environment Utilities apps/frontend/src/main/python-path-utils.ts, apps/frontend/src/main/python-detector.ts	Platform-aware Python executable path resolution for conda/venv environments; activation script validation against known conda patterns.
Git Provider Abstraction & Factory apps/backend/core/git_provider.py, apps/backend/runners/providers/factory.py, apps/backend/runners/providers/__init__.py, apps/backend/runners/providers/README.md, apps/backend/runners/providers/example.py	New provider abstraction layer with GitProvider enum (GITHUB, GITLAB, AUTO_DETECT); detection from git remote; configurable provider factory; comprehensive documentation; provider-agnostic usage examples.
GitHub & GitLab Provider Implementations apps/backend/runners/github/..., apps/backend/runners/gitlab/glab_client.py, apps/backend/runners/gitlab/providers/gitlab_provider.py, apps/backend/runners/gitlab/providers/__init__.py	GitHubProvider (existing expanded), GitLabClient with MR creation API; GitLabProvider with full PR/MR/issue/review/label operations and state mapping; merge request support with squash/remove-source flags.
Multi-Provider Worktree & PR/MR Creation apps/backend/core/worktree.py, apps/backend/cli/workspace_commands.py, apps/backend/cli/batch_commands.py	Worktree path migration to .auto-claude/worktrees/tasks/{spec}; provider-aware PR/MR creation with separate GitHub (gh CLI) and GitLab (glab CLI) handlers; retry logic with backoff; push, branch management; provider-specific messaging (PR vs. MR); WorktreeManager refactoring in batch commands.
User Feedback Integration & Planning apps/backend/agents/coder.py, apps/backend/agents/tools_pkg/tools/feedback.py, apps/backend/agents/tools_pkg/models.py, apps/backend/agents/tools_pkg/registry.py, apps/backend/agents/tools_pkg/tools/__init__.py, apps/backend/auto_claude_tools.py, apps/backend/phase_config.py	Unread feedback retrieval and injection into agent prompts; feedback marking tool via MCP; planning validation requiring non-empty plan structure; feedback lifecycle management in task logger.
Planning & Validation apps/backend/prompts/planner.md, apps/backend/prompts/roadmap_discovery.md, apps/backend/prompts/roadmap_features.md	CRITICAL REQUIREMENT block mandating phases with subtasks; minimum plan example; progress signaling blocks (ROADMAP_PROGRESS markers) for granular phase tracking across discovery and feature generation.
Frontend Agent & Process Handling apps/frontend/src/main/agent/agent-process.ts, apps/frontend/src/main/agent/agent-manager.ts, apps/frontend/src/main/agent/agent-events.ts, apps/frontend/src/main/agent/agent-queue.ts, apps/frontend/src/main/agent/parsers/roadmap-phase-parser.ts	Activation script support for Python execution (Windows PowerShell/batch, Unix shell); task description via temp file instead of args; granular roadmap progress marker parsing; tool-driven micro-progress tracking during ideation/roadmap phases.
Frontend Terminal & CLI Utilities apps/frontend/src/main/claude-cli-utils.ts, apps/frontend/src/main/ipc-handlers/claude-code-handlers.ts	PATH modification tracking (wasModified flag); terminal open/close control via keepOpen parameter with conditional PowerShell -NoExit flag.
Windows Process Compatibility apps/frontend/src/main/changelog/generator.ts, apps/frontend/src/main/changelog/version-suggester.ts, apps/frontend/src/main/insights/insights-executor.ts, apps/frontend/src/main/release-service.ts, apps/frontend/src/main/terminal-name-generator.ts, apps/frontend/src/main/title-generator.ts, apps/frontend/src/main/ipc-handlers/context/project-context-handlers.ts	Added windowsHide: true spawn option across multiple Python/CLI invocations to suppress console windows on Windows.
GitLab OAuth & Integration apps/frontend/src/main/ipc-handlers/gitlab/oauth-handlers.ts, apps/frontend/src/main/ipc-handlers/gitlab/utils.ts, apps/frontend/src/main/ipc-handlers/github/oauth-handlers.ts	glab CLI version detection refinement; updated WinGet package ID (GLab.GLab); non-interactive credential handling via GIT_TERMINAL_PROMPT; glab login via stdin; token/user retrieval via glab api user JSON parsing.
Task Metadata IPC apps/frontend/src/main/ipc-handlers/task/metadata-handlers.ts, apps/frontend/src/main/ipc-handlers/task/index.ts	New TASK_GET_METADATA and TASK_UPDATE_METADATA handlers for reading/writing task_metadata.json with spec directory resolution.
Insights Service apps/frontend/src/main/insights-service.ts	Added cancelSession method delegating to executor.
Frontend API Extensions apps/frontend/src/preload/api/modules/github-api.ts, apps/frontend/src/preload/api/modules/insights-api.ts	New installGitHubCli and getGitHubRepos methods in GitHubAPI; cancelInsightsSession in InsightsAPI; MergeReadiness interface.
Configuration & Testing .gitignore, .husky/pre-commit, apps/backend/requirements.txt, apps/frontend/electron.vite.config.ts, apps/frontend/package.json, apps/frontend/src/main/__tests__/conda-project-structure.test.ts, apps/frontend/src/main/agent/agent-process.test.ts, apps/frontend/src/main/services/profile-service.test.ts	.envs/ and tmpClaude patterns in gitignore; pre-commit worktree guards and subshells; pywin32 Python 3.12+ constraint; HMR ignore patterns; @radix-ui/react-slider dependency; comprehensive Conda project structure unit tests; mock enhancements for test setup.
Documentation CLAUDE.md, INVESTIGATION.md, PR_DESCRIPTION.md, apps/backend/runners/roadmap/CLAUDE.md	Git provider support documentation; subtask rendering failure root-cause analysis and fix proposals; Conda feature summary; comprehensive roadmap architecture and usage guide.

Sequence Diagrams

sequenceDiagram
    participant User
    participant Frontend as Frontend (Main)
    participant Detector as Conda Detector
    participant EnvMgr as Conda Env Manager
    participant Workspace as Workspace Generator
    participant Filesystem

    User->>Frontend: Initiate Conda Setup for Project
    Frontend->>Detector: detectCondaInstallations()
    Detector->>Detector: Search OS-specific paths
    Detector->>Filesystem: Validate conda executable
    Detector-->>Frontend: CondaDetectionResult
    
    Frontend->>EnvMgr: createEnvironment(config)
    EnvMgr->>EnvMgr: Parse Python version
    EnvMgr->>Filesystem: Create environment directory
    EnvMgr->>EnvMgr: Run conda create command
    EnvMgr->>EnvMgr: Verify environment
    EnvMgr->>EnvMgr: Install dependencies
    EnvMgr-->>Frontend: Progress events
    
    Frontend->>Workspace: generateWorkspaceFiles()
    Workspace->>Workspace: Detect project structure
    Workspace->>Filesystem: Write VS Code workspace config
    Workspace->>Filesystem: Generate activation scripts
    Workspace-->>Frontend: Generated paths
    
    Frontend-->>User: Setup complete

Loading

sequenceDiagram
    participant User
    participant Frontend as Frontend (UI)
    participant WorktreeManager as Worktree Manager
    participant GitProvider as Git Provider
    participant GitHub as GitHub CLI
    participant GitLab as GitLab CLI

    User->>Frontend: Request PR/MR Creation
    Frontend->>WorktreeManager: push_and_create_pr(spec, target_branch, provider_setting)
    
    WorktreeManager->>GitProvider: get_provider_config(project_dir, provider_setting)
    GitProvider-->>WorktreeManager: Provider (GITHUB | GITLAB)
    
    WorktreeManager->>WorktreeManager: push_branch with retry
    
    alt GitHub Provider
        WorktreeManager->>GitHub: gh pr create --head --base --title
        GitHub-->>WorktreeManager: PR URL
    else GitLab Provider
        WorktreeManager->>GitLab: glab mr create --source-branch --target-branch --title
        GitLab-->>WorktreeManager: MR URL
    end
    
    WorktreeManager-->>Frontend: PushAndCreatePRResult
    Frontend-->>User: PR/MR created (provider-specific messaging)

Loading

sequenceDiagram
    participant Agent as Coder Agent
    participant Phase as Phase Config
    participant Logger as Task Logger
    participant Prompt as Prompt Builder
    participant PlanValidator as Plan Validator

    Agent->>Agent: Start main loop
    Agent->>Phase: get_unread_feedback(spec_dir)
    Phase->>Phase: Load task_metadata.json
    Phase-->>Agent: Unread feedback list
    
    Agent->>Logger: Log unread feedback detected
    Agent->>Prompt: Append feedback_section to current prompt
    
    alt Feedback exists
        Prompt->>Agent: Enhanced prompt with user feedback context
    else No feedback
        Prompt->>Agent: Standard prompt
    end
    
    Agent->>Agent: Generate plan
    Agent->>PlanValidator: Validate plan structure
    
    alt Plan invalid
        PlanValidator-->>Agent: Validation errors
        Agent->>Logger: Log planning failure
        Agent->>Agent: Set plan state to human_review
    else Plan valid
        Agent->>Phase: Sync plan to source
    end
    
    alt Completion check
        Agent->>Phase: Check for unread feedback
        alt Feedback remains
            Agent->>Agent: Block completion with error
        end
    end

Loading

Estimated code review effort

🎯 5 (Critical) | ⏱️ ~120 minutes

This PR introduces substantial new functionality across frontend and backend, including: a complete Conda environment management system (detection, creation, activation, workspace generation), a provider abstraction layer with GitHub/GitLab implementations, user feedback integration with planning validation, and cross-platform activation script support. The changes span 30+ new files and significant modifications to critical paths (worktree management, agent coder, process spawning). Multiple heterogeneous features demand separate reasoning for each subsystem despite some shared infrastructure patterns.

Possibly related PRs

• PR #680 — Centralizes Claude CLI invocation utilities and PATH handling in frontend, directly related to claude-cli-utils.ts changes in this PR.
• PR #254 — Adds GitLab integration code (runners/gitlab, glab client, provider flows), overlapping substantially with the git provider factory and GitLab provider implementation in this PR.
• PR #824 — Addresses incomplete plan overwriting via investigation and validation, directly related to planning validation and INVESTIGATION.md in this PR.

Suggested labels

feature, area/fullstack, size/XL, enhancement, windows-support

Suggested reviewers

• AlexMadera
• AndyMik90
• MikeeBuilds

Poem

🐰 Hop hop, the environments bloom,
Conda paths light up the room,
GitHub and GitLab unite at last,
Feedback feeds the future so fast,
Windows hides its console with grace, 🎉
Multi-platform, one brilliant place! ✨

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title clearly describes the main feature: conda environment management with Windows compatibility, which is the primary change across this large changeset.
Docstring Coverage	✅ Passed	Docstring coverage is 96.18% which is sufficient. The required threshold is 80.00%.

_{✏️ Tip: You can configure your own custom pre-merge checks in the settings.}

✨ Finishing touches

• 📝 Generate docstrings

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[CLAassistant]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you all sign our Contributor License Agreement before we can accept your contribution.
5 out of 7 committers have signed the CLA.

✅ MaximStone
✅ AndyMik90
✅ g1331
✅ jasonnator
✅ StillKnotKnown
❌ aslaker
❌ Test User

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_{You have signed the CLA already but the status is still pending? Let us recheck it.}

[gemini-code-assist]

Summary of Changes

Hello @jasonnator, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly upgrades the project's Python environment management by integrating Conda, ensuring cross-platform compatibility, especially for Windows users. It also refines core development workflows, including pre-commit checks, Git operations, and PR review processes, by introducing a new Git provider abstraction and enhancing AI-driven merge conflict resolution. These changes aim to improve developer experience, streamline automated tasks, and make the system more robust and extensible across different operating systems and Git hosting platforms.

Highlights

• Comprehensive Conda Environment Management: Introduces robust management for both application-level and project-level Python environments, ensuring isolated dependencies and seamless integration.
• Full Windows Compatibility: Addresses numerous Windows-specific challenges, including console window popups, PowerShell command syntax, platform-aware shell escaping, and optimized PATH modifications.
• Enhanced Terminal Integration: Conda environments now auto-activate when opening terminals for configured projects, supporting PowerShell, CMD, and Bash activation scripts.
• VS Code Integration: Automatically generates workspace files and init scripts for a smooth VS Code experience with Conda environments.
• Intelligent Project Structure Detection: Detects pure Python, mixed (.NET + Python), and monorepo projects to correctly place environment files.
• Improved Pre-Commit Hooks: Updates pre-commit hooks to preserve Git worktree context and use subshells for Python and frontend checks, preventing corruption and ensuring isolation.
• Robust Merge Conflict Resolution: Enhances AI-assisted merge logic with a two-tier model strategy (Haiku then Sonnet), simple 3-way merge for non-conflicting changes, and improved handling of binary files.
• Git Provider Abstraction: Introduces a new Git Provider Factory, enabling a unified interface for GitHub and GitLab operations, with future extensibility for other platforms.
• Refined PR Review Workflow: Updates PR review agents with evidence-based validation (removing confidence scores), improved scope checking, and better handling of CI status and merge conflicts.
• User Feedback Integration: Adds a new mark_feedback_read tool, allowing agents to explicitly acknowledge and incorporate user feedback into the development process.

Ignored Files

• Ignored by pattern: .github/workflows/** (7)
  • .github/workflows/beta-release.yml
  • .github/workflows/pr-auto-label.yml
  • .github/workflows/pr-labeler.yml
  • .github/workflows/pr-status-check.yml
  • .github/workflows/pr-status-gate.yml
  • .github/workflows/prepare-release.yml
  • .github/workflows/release.yml

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[gemini-code-assist]

Code Review

This is an extensive and high-quality pull request that introduces comprehensive conda environment management and significantly improves Windows compatibility. The changes are well-thought-out, especially the enhancements to worktree management, git command handling, and security validation. The introduction of evidence-based validation for PR review findings and robust error handling in the agent lifecycle are particularly noteworthy improvements. My review includes a few suggestions for consistency and robustness, mainly around file I/O and refactoring duplicated logic.

[sentry]

Codecov Report

❌ Patch coverage is 17.85029% with 428 lines in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
...ackend/runners/gitlab/providers/gitlab_provider.py	0.00%	122 Missing ⚠️
apps/backend/runners/providers/example.py	0.00%	71 Missing ⚠️
apps/backend/runners/providers/factory.py	0.00%	51 Missing ⚠️
apps/backend/agents/tools_pkg/tools/feedback.py	12.28%	50 Missing ⚠️
apps/backend/core/worktree.py	7.40%	50 Missing ⚠️
apps/backend/agents/coder.py	56.66%	39 Missing ⚠️
apps/backend/cli/workspace_commands.py	0.00%	15 Missing ⚠️
apps/backend/runners/gitlab/glab_client.py	0.00%	12 Missing ⚠️
apps/backend/cli/batch_commands.py	11.11%	8 Missing ⚠️
apps/backend/phase_config.py	57.14%	3 Missing ⚠️
... and 4 more

📢 Thoughts on this report? Let us know!

[coderabbitai]

Actionable comments posted: 105

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (7)

apps/frontend/src/renderer/components/project-settings/hooks/useProjectSettings.ts (1)

363-385: Local state updated even when backend save fails.

When result.success is false (line 371) or an exception is caught (line 378), the function still calls setEnvConfig(newConfig) on line 383. This causes the UI to display configuration that wasn't persisted, leading to a state/persistence mismatch. Users may believe their changes were saved when they weren't.

Consider only updating local state on successful save, or reverting/notifying the user on failure.

🛠️ Suggested fix

   const updateEnvConfig = async (updates: Partial<ProjectEnvConfig>) => {
     if (envConfig) {
       const newConfig = { ...envConfig, ...updates };
       console.log('[useProjectSettings.updateEnvConfig] Updating config:', updates);
 
       // Save to backend FIRST so disk is updated before effects run
       try {
         const result = await window.electronAPI.updateProjectEnv(project.id, newConfig);
         if (!result.success) {
           console.error('[useProjectSettings] Failed to auto-save env config:', result.error);
+          setEnvError(result.error || 'Failed to save environment config');
+          return;
         } else {
           console.log('[useProjectSettings.updateEnvConfig] Successfully saved to backend');
           // Notify other components (like Sidebar) that env config changed
           window.dispatchEvent(new CustomEvent('env-config-updated'));
+          // Update local state only on success
+          setEnvConfig(newConfig);
         }
       } catch (err) {
         console.error('[useProjectSettings] Error auto-saving env config:', err);
+        setEnvError(err instanceof Error ? err.message : 'Unknown error');
+        return;
       }
-
-      // Then update local state (triggers effects that read from disk)
-      setEnvConfig(newConfig);
     }
   };

apps/frontend/src/main/claude-cli-utils.ts (1)

12-47: Replace process.platform checks with platform abstraction helpers.
Direct platform checks violate project guidelines and will fail static enforcement. Use the shared platform utilities for delimiter and Windows detection.

🛠️ Proposed fix

 import path from 'path';
 import { getAugmentedEnv, getAugmentedEnvAsync } from './env-utils';
 import { getToolPath, getToolPathAsync } from './cli-tool-manager';
+import { getPathDelimiter, isWindows } from './platform';

@@
-  const pathSeparator = process.platform === 'win32' ? ';' : ':';
+  const pathSeparator = getPathDelimiter();
@@
-  const hasCommandDir = process.platform === 'win32'
+  const hasCommandDir = isWindows()
     ? pathEntries
       .map((entry) => path.normalize(entry).toLowerCase())
       .includes(normalizedCommandDir.toLowerCase())
     : pathEntries
       .map((entry) => path.normalize(entry))
       .includes(normalizedCommandDir);

As per coding guidelines, ...

apps/frontend/src/main/ipc-handlers/claude-code-handlers.ts (2)

509-523: Consider propagating spawn errors before detaching.

The runWindowsCommand helper resolves after a 300ms delay regardless of whether the process started successfully. While fire-and-forget is intentional for detached terminals, early spawn failures (e.g., command not found) are silently swallowed. Consider attaching an error listener before the timeout:

Suggested improvement

     const runWindowsCommand = (cmdString: string): Promise<void> => {
-      return new Promise((resolve) => {
+      return new Promise((resolve, reject) => {
         console.log(`[Claude Code] Executing: ${cmdString}`);
         const child = exec(cmdString, { windowsHide: false });
+
+        child.on('error', (err) => {
+          reject(new Error(`Failed to start terminal: ${err.message}`));
+        });
+
         child.unref?.();
-        setTimeout(() => resolve(), 300);
+        setTimeout(() => resolve(), 300);
       });
     };

---

392-398: Direct process.platform check violates coding guidelines.

Import and use platform abstraction functions from the platform module (isWindows(), isMacOS(), isLinux()) instead of checking process.platform directly.

Suggested refactor

+import { isWindows, isMacOS } from '../platform';
+
 export async function openTerminalWithCommand(command: string, keepOpen: boolean = true): Promise<void> {
-  const platform = process.platform;
   const settings = readSettingsFile();
   const preferredTerminal = settings?.preferredTerminal as string | undefined;

-  console.log('[Claude Code] Platform:', platform);
+  console.log('[Claude Code] Platform:', process.platform);
   console.log('[Claude Code] Preferred terminal:', preferredTerminal);

-  if (platform === 'darwin') {
+  if (isMacOS()) {
     // macOS handling...
-  } else if (platform === 'win32') {
+  } else if (isWindows()) {
     // Windows handling...
   } else {
     // Linux handling...
   }

apps/frontend/src/renderer/components/settings/integrations/GitLabIntegration.tsx (1)

234-256: Guard OAuth logs to avoid leaking sensitive data in production.

These console.log statements bypass DEBUG gating and log the full OAuth response. If the payload includes auth URLs or tokens, this is a privacy/telemetry risk and adds production noise. Prefer debugLog and sanitize the logged fields.

🛠️ Suggested change

-  console.log('[GitLabIntegration] handleStartOAuth called');
+  debugLog('handleStartOAuth called');
   const hostname = envConfig?.gitlabInstanceUrl?.replace(/^https?:\/\//, '').replace(/\/$/, '');
-  console.log('[GitLabIntegration] Calling startGitLabAuth with hostname:', hostname);
+  debugLog('Calling startGitLabAuth with hostname:', hostname);
   const result = await window.electronAPI.startGitLabAuth(hostname);
-  console.log('[GitLabIntegration] startGitLabAuth result:', result);
+  debugLog('startGitLabAuth result:', { success: result.success, error: result.error });

   if (result.success) {
-    console.log('[GitLabIntegration] Auth started successfully, polling for completion...');
+    debugLog('Auth started successfully, polling for completion...');
     // Poll for auth completion
     const checkAuth = async () => {
       const authResult = await window.electronAPI.checkGitLabAuth(hostname);
       if (authResult.success && authResult.data?.authenticated) {
         handleOAuthSuccess();
       } else {
         // Retry after delay
         setTimeout(checkAuth, 2000);
       }
     };
     setTimeout(checkAuth, 3000);
   } else {
-    console.error('[GitLabIntegration] startGitLabAuth failed:', result.error);
+    console.error('[GitLabIntegration] startGitLabAuth failed');
+    debugLog('startGitLabAuth error detail:', result.error);
   }

apps/frontend/src/preload/api/modules/github-api.ts (1)

395-423: Remove the duplicate MergeReadiness interface.

The interface is declared twice in the same file. TypeScript will merge them, but it’s redundant and can hide future divergences. Keep a single definition (or re-export from shared types).

♻️ Proposed fix

-/**
- * Lightweight merge readiness check result
- * Used for real-time validation of AI verdict freshness
- */
-export interface MergeReadiness {
-  /** PR is in draft mode */
-  isDraft: boolean;
-  /** GitHub's mergeable status */
-  mergeable: 'MERGEABLE' | 'CONFLICTING' | 'UNKNOWN';
-  /** Branch is behind base branch (out of date) */
-  isBehind: boolean;
-  /** Simplified CI status */
-  ciStatus: 'passing' | 'failing' | 'pending' | 'none';
-  /** List of blockers that contradict a "ready to merge" verdict */
-  blockers: string[];
-}

apps/frontend/src/renderer/components/settings/GeneralSettings.tsx (1)

334-410: Localize file dialog filter labels.

These names surface in the OS picker and are user-facing. Please move them to i18n keys.

✅ Suggested fix

-                  filters: isWindows
-                    ? [{ name: 'Python Executable', extensions: ['exe'] }]
+                  filters: isWindows
+                    ? [{ name: t('general.pythonExecutableFilter'), extensions: ['exe'] }]
                     : []
@@
-                    ? [
-                        { name: 'Activation Scripts', extensions: ['bat', 'cmd', 'ps1'] },
-                        { name: 'All Files', extensions: ['*'] }
-                      ]
-                    : [{ name: 'All Files', extensions: ['*'] }]
+                    ? [
+                        { name: t('general.activationScriptsFilter'), extensions: ['bat', 'cmd', 'ps1'] },
+                        { name: t('general.allFilesFilter'), extensions: ['*'] }
+                      ]
+                    : [{ name: t('general.allFilesFilter'), extensions: ['*'] }]

As per coding guidelines.

[coderabbitai]

🧹 Nitpick | 🔵 Trivial

Consider maintaining emoji consistency with other scripts.

The scripts/bump-version.js uses ⚠️ emoji in its warning() function. Removing the emoji here creates an inconsistency. If this was intentional for terminal compatibility, consider documenting the rationale or applying the same pattern to other warning messages.

🤖 Prompt for AI Agents

In @.husky/pre-commit at line 198, The pre-commit hook's echo warning ("echo
\"WARNING: node_modules not available in this worktree.\"") is inconsistent with
the ⚠️ emoji used by the warning() in scripts/bump-version.js; update the
pre-commit warning to include the same ⚠️ emoji (or vice versa) to maintain
consistency, or add a short comment in the hook explaining
terminal-compatibility rationale if you intentionally omitted the emoji so
reviewers know why the styles differ.

[coderabbitai]

⚠️ Potential issue | 🟡 Minor

Remove the redundant pywin32 dependency entry.

Lines 26-28 duplicate the pywin32 dependency already declared on line 24. Since line 24 installs pywin32>=306 on all Windows systems (any Python version), the additional constraint python_version >= "3.12" on line 28 is redundant—pip will already have installed pywin32 for Python 3.12+ systems via line 24.

If the intent is to document that pywin32 is required for both MCP (all versions) and LadybugDB/Graphiti (3.12+ only), clarify this in the comments on lines 21-24 rather than adding a duplicate dependency entry.

♻️ Proposed fix: Remove duplicate entry

 # Windows-specific dependency for LadybugDB/Graphiti
 # pywin32 provides Windows system bindings required by real_ladybug
 # Required on all Python versions on Windows (ACS-306) - MCP library unconditionally imports win32api
+# Also required by real_ladybug/graphiti-core on Python 3.12+ (Windows)
 pywin32>=306; sys_platform == "win32"
 
-# Windows-specific dependency for LadybugDB/Graphiti
-# pywin32 provides Windows system bindings required by real_ladybug
-pywin32>=306; sys_platform == "win32" and python_version >= "3.12"
-
 # Google AI (optional - for Gemini LLM and embeddings)
 google-generativeai>=0.8.0

🤖 Prompt for AI Agents

In `@apps/backend/requirements.txt` around lines 26 - 28, Remove the duplicate
pywin32 requirement entry ("pywin32>=306; sys_platform == \"win32\" and
python_version >= \"3.12\"") from requirements.txt and keep only the existing
pywin32 entry ("pywin32>=306") to avoid redundancy; then update the comment
above the remaining pywin32 line to clarify that pywin32 is required for MCP on
all Windows versions and also required by LadybugDB/Graphiti for Python 3.12+,
instead of adding a second dependency line.

[coderabbitai]

⚠️ Potential issue | 🟠 Major

Avoid process.platform here and add OS-matrix tests.
The test helper checks process.platform directly and the suite doesn’t exercise Windows/macOS/Linux permutations. Please use the platform abstraction and parameterize tests to cover all three OSes. Based on learnings and as per coding guidelines, platform-specific behavior should be mocked and tested across Windows, macOS, and Linux.

💡 Example approach

-import path from 'path';
+import path from 'path';
+import { isWindows, isMacOS, isLinux } from '../platform';

+vi.mock('../platform', () => ({
+  isWindows: vi.fn(),
+  isMacOS: vi.fn(),
+  isLinux: vi.fn(),
+}));

 const mockIsWindows = isWindows as ReturnType<typeof vi.fn>;
 const mockIsMacOS = isMacOS as ReturnType<typeof vi.fn>;
 const mockIsLinux = isLinux as ReturnType<typeof vi.fn>;

-describe('conda-project-structure', () => {
+describe.each([
+  { name: 'windows', win: true, mac: false, linux: false },
+  { name: 'macos', win: false, mac: true, linux: false },
+  { name: 'linux', win: false, mac: false, linux: true },
+])('conda-project-structure (%s)', ({ win, mac, linux }) => {
+  beforeEach(() => {
+    mockIsWindows.mockReturnValue(win);
+    mockIsMacOS.mockReturnValue(mac);
+    mockIsLinux.mockReturnValue(linux);
+  });

🤖 Prompt for AI Agents

In `@apps/frontend/src/main/__tests__/conda-project-structure.test.ts` around
lines 37 - 55, The helper normalizePath currently reads process.platform
directly; change tests to mock the platform abstraction instead and parameterize
the suite across 'win32', 'darwin', and 'linux' so behavior for Windows, macOS
and Linux is verified. Replace direct uses of process.platform in the test file
with a mocked platform value via the existing platform abstraction (or create
one if missing), then write a parameterized describe/it block that runs
normalizePath under each mocked platform and asserts expected normalized outputs
(including drive-letter lowercasing for 'win32'); ensure you use vi.spyOn or
vi.stub to set the platform abstraction and restore it in afterEach to avoid
global leaks.

[coderabbitai]

🛠️ Refactor suggestion | 🟠 Major

Move require() calls to ES module imports at the top of the file.

Using CommonJS require() inside the function body is inconsistent with the rest of this ES module file. The fs module is already partially imported at line 3. Move these to proper ES module imports.

Suggested fix

Add to imports at top of file:

import os from 'os';
import { existsSync, writeFileSync, unlinkSync } from 'fs';

Then remove the inline requires:

    // spec_runner.py will auto-start run.py after spec creation completes
    // Write task description to a temp file to avoid command-line quoting issues
-   const os = require('os');
-   const fs = require('fs');
-   const tempTaskFile = path.join(os.tmpdir(), `task-${Date.now()}-${Math.random().toString(36).substring(7)}.txt`);
-   fs.writeFileSync(tempTaskFile, taskDescription, 'utf-8');
+   const tempTaskFile = path.join(os.tmpdir(), `task-${Date.now()}-${Math.random().toString(36).substring(7)}.txt`);
+   writeFileSync(tempTaskFile, taskDescription, 'utf-8');

🤖 Prompt for AI Agents

In `@apps/frontend/src/main/agent/agent-manager.ts` around lines 139 - 140, Move
the inline CommonJS requires into ES module imports at the top of the file:
replace the in-function "const os = require('os'); const fs = require('fs');"
with "import os from 'os';" and import the specific fs helpers used (e.g.,
existsSync, writeFileSync, unlinkSync) instead of requiring the whole module;
then remove the inline require statements and update references in functions
like the ones in agent-manager.ts that call os or fs methods to use the imported
symbols (os, existsSync, writeFileSync, unlinkSync).

[coderabbitai]

⚠️ Potential issue | 🟠 Major

Temp file is never cleaned up, causing a resource leak.

The temp file created here is never deleted after the process completes. Over time, this will accumulate orphan files in the OS temp directory. Additionally, writeFileSync can throw if the temp directory is not writable or disk is full—this should be wrapped in a try-catch to emit a proper error.

Suggested approach

1. Wrap the file write in try-catch to handle write failures gracefully.
2. Register cleanup for the temp file when the process exits. Since spawnProcess is called at line 184, you could listen for process exit and delete the file.

+   let tempTaskFile: string | undefined;
+   try {
+     tempTaskFile = path.join(os.tmpdir(), `task-${Date.now()}-${Math.random().toString(36).substring(7)}.txt`);
+     writeFileSync(tempTaskFile, taskDescription, 'utf-8');
+   } catch (error) {
+     this.emit('error', taskId, `Failed to write task description to temp file: ${error instanceof Error ? error.message : String(error)}`);
+     return;
+   }
    const args = [specRunnerPath, '--task-file', tempTaskFile, '--project-dir', projectPath];

For cleanup, consider adding a listener for this specific task's exit event to delete the temp file:

// After spawnProcess call
const cleanupTempFile = () => {
  if (tempTaskFile) {
    try { unlinkSync(tempTaskFile); } catch { /* ignore */ }
  }
};
this.once('exit', (exitTaskId: string) => {
  if (exitTaskId === taskId) cleanupTempFile();
});
this.once('error', (errorTaskId: string) => {
  if (errorTaskId === taskId) cleanupTempFile();
});

🤖 Prompt for AI Agents

In `@apps/frontend/src/main/agent/agent-manager.ts` around lines 141 - 143, The
temp file created as tempTaskFile via writeFileSync can leak and throw; wrap the
fs.writeFileSync(tempTaskFile, taskDescription, 'utf-8') in a try-catch and emit
a clear error (or throw) if the write fails, and register a cleanup that deletes
tempTaskFile after the spawned task completes or errors: after calling
spawnProcess (or wherever the task is started, e.g., in the same block that uses
taskId and spawnProcess), add listeners for the task’s exit/error (or
this.once('exit'/'error') keyed by taskId) that call fs.unlinkSync(tempTaskFile)
inside their own try-catch to ignore unlink failures so the temp file is removed
reliably.

[coderabbitai]

⚠️ Potential issue | 🟡 Minor

Add language identifiers and spacing around fenced blocks.

markdownlint (MD040/MD031) will fail because fenced blocks lack a language tag and aren’t surrounded by blank lines (e.g., the architecture diagram here and the log snippets later). Add language identifiers (text/typescript/log) and blank lines around fences throughout.

🛠️ Example fix (apply across the document)

-### Current Architecture
-
-```
+### Current Architecture
+
+```text
 Backend (Python)
     ↓
 Creates implementation_plan.json
     ↓
 Emits IPC event: 'task:progress' with plan data
     ↓
 Frontend (Electron Renderer)
     ↓
 useIpc.ts: onTaskProgress handler (batched)
     ↓
 task-store.ts: updateTaskFromPlan(taskId, plan)
     ↓
 Creates subtasks from plan.phases.flatMap(phase => phase.subtasks)
     ↓
 UI: TaskSubtasks.tsx renders subtasks
-```
+```

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change

	```
	Backend (Python)
	↓
	Creates implementation_plan.json
	↓
	Emits IPC event: 'task:progress' with plan data
	↓
	Frontend (Electron Renderer)
	↓
	useIpc.ts: onTaskProgress handler (batched)
	↓
	task-store.ts: updateTaskFromPlan(taskId, plan)
	↓
	Creates subtasks from plan.phases.flatMap(phase => phase.subtasks)
	↓
	UI: TaskSubtasks.tsx renders subtasks
	```

🧰 Tools

🪛 markdownlint-cli2 (0.18.1)

11-11: Fenced code blocks should have a language specified

(MD040, fenced-code-language)

🤖 Prompt for AI Agents

In `@INVESTIGATION.md` around lines 11 - 27, In INVESTIGATION.md, update all
fenced code/diagram blocks (e.g., the architecture diagram shown between
"Backend (Python)" and "UI: TaskSubtasks.tsx renders subtasks") to include a
language identifier (use text/typescript/log as appropriate) and ensure there is
a blank line before and after each triple-backtick fence so markdownlint
MD040/MD031 are satisfied; apply the same change to other fenced blocks such as
log snippets elsewhere in the document.

[coderabbitai]

⚠️ Potential issue | 🟡 Minor

Use proper headings instead of bold emphasis for subsections.

markdownlint (MD036/MD022) flags bold text used as headings. Convert these labels to real headings and ensure blank lines around them.

🛠️ Example fix

-**A. No Plan Validation Before State Update**
+#### A. No Plan Validation Before State Update

🧰 Tools

🪛 markdownlint-cli2 (0.18.1)

108-108: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)

---

111-111: Fenced code blocks should be surrounded by blank lines

(MD031, blanks-around-fences)

---

119-119: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)

---

126-126: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)

---

129-129: Fenced code blocks should be surrounded by blank lines

(MD031, blanks-around-fences)

🤖 Prompt for AI Agents

In `@INVESTIGATION.md` around lines 108 - 129, Replace the bold-section labels
with proper Markdown headings and ensure blank lines around them: change "**A.
No Plan Validation Before State Update**", "**B. Missing Reload Trigger After
Spec Completion**", and "**C. Race Condition in Batch Update Queue**" into
heading lines (e.g., "## A. No Plan Validation Before State Update") and add a
blank line before and after each heading so markdownlint rules MD036/MD022 are
satisfied and the sections render as real headings.

[coderabbitai]

⚠️ Potential issue | 🟡 Minor

Markdown formatting: missing top-level heading.

Per markdownlint, the first line should be a top-level heading (#). Consider adding a title.

Proposed fix

+# Conda Environment Management
+
 ## Summary
 
 This PR implements comprehensive Conda environment management...

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change

	## Summary
	This PR implements comprehensive Conda environment management for Auto Claude, enabling isolated Python environments at both application and project levels. It also includes significant Windows/PowerShell compatibility fixes to ensure reliable terminal integration across platforms.
	# Conda Environment Management
	## Summary
	This PR implements comprehensive Conda environment management for Auto Claude, enabling isolated Python environments at both application and project levels. It also includes significant Windows/PowerShell compatibility fixes to ensure reliable terminal integration across platforms.

🧰 Tools

🪛 markdownlint-cli2 (0.18.1)

1-1: First line in a file should be a top-level heading

(MD041, first-line-heading, first-line-h1)

🤖 Prompt for AI Agents

In `@PR_DESCRIPTION.md` around lines 1 - 3, Add a top-level Markdown heading at
the top of PR_DESCRIPTION.md by inserting a single line starting with "# "
(e.g., "# Auto Claude Conda Environment Management") above the existing "##
Summary" header so the file begins with a level-1 title and satisfies
markdownlint.

[coderabbitai]

⚠️ Potential issue | 🟡 Minor

Markdown formatting: missing blank line before heading.

Per markdownlint (MD022), headings should be surrounded by blank lines.

Proposed fix

 - [ ] Settings Persistence**: Navigate away and back, verify all conda settings retained
 
 ## Files Changed
 
+
 ### New Files (11)
 - `conda-detector.ts` - Conda installation detection service

Also add a blank line before line 49 (### Modified Files).

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change

	## Files Changed
	### New Files (11)
	- `conda-detector.ts` - Conda installation detection service
	## Files Changed
	### New Files (11)
	- `conda-detector.ts` - Conda installation detection service

🧰 Tools

🪛 markdownlint-cli2 (0.18.1)

36-36: Headings should be surrounded by blank lines
Expected: 1; Actual: 0; Below

(MD022, blanks-around-headings)

🤖 Prompt for AI Agents

In `@PR_DESCRIPTION.md` around lines 34 - 37, Add a blank line above the "## Files
Changed" heading and also add a blank line before the "### Modified Files"
heading in PR_DESCRIPTION.md to satisfy MD022; edit the block containing "##
Files Changed", "### New Files (11)" and the later "### Modified Files" headings
so each heading is preceded by an empty line.

[coderabbitai]

Review continued from previous batch...

[coderabbitai]

⚠️ Potential issue | 🟡 Minor

Add blank lines around the JSON fenced block (markdownlint MD031).
The JSON example should be surrounded by blank lines to satisfy markdownlint.

🧰 Tools

🪛 markdownlint-cli2 (0.18.1)

25-25: Fenced code blocks should be surrounded by blank lines

(MD031, blanks-around-fences)

🤖 Prompt for AI Agents

In `@apps/backend/prompts/planner.md` around lines 24 - 46, The markdown fenced
JSON example under the "Example MINIMUM acceptable plan:" heading lacks
surrounding blank lines which violates markdownlint MD031; fix it by inserting a
blank line immediately before the opening ```json fence and a blank line
immediately after the closing ``` fence so the JSON block is separated from
surrounding text; update the section containing the example JSON (the code block
showing the minimal plan) accordingly.

[coderabbitai]

⚠️ Potential issue | 🟡 Minor

Minor markdown formatting issue.

Static analysis indicates a blank line issue around line 146. Consider adding a blank line after the code block to satisfy markdown linting rules (MD022).

🧰 Tools

🪛 markdownlint-cli2 (0.18.1)

146-146: Headings should be surrounded by blank lines
Expected: 1; Actual: 0; Below

(MD022, blanks-around-headings)

🤖 Prompt for AI Agents

In `@apps/backend/prompts/roadmap_discovery.md` around lines 142 - 146, Add a
single blank line after the fenced code block that contains echo
"[ROADMAP_PROGRESS] 52 Discovered target audience and pain points" so the code
block is followed by an empty line (to satisfy MD022); locate the closing ```
fence in the roadmap_discovery.md content and insert one blank line immediately
after it.

[coderabbitai]

🧹 Nitpick | 🔵 Trivial

Consider strengthening the unmount safety test assertion.

The test "should not update state after unmount" only verifies that no error is thrown, but doesn't actually assert that state remained unchanged. This is a common pattern but consider adding a spy or using result.current before unmount to verify the callback no longer affects state.

💡 Suggested improvement

   it('should not update state after unmount', async () => {
-    const { unmount } = renderHook(() => useCondaSetup({ type: 'app' }));
+    const { result, unmount } = renderHook(() => useCondaSetup({ type: 'app' }));
+
+    // Capture initial state
+    const initialStep = result.current.step;

     unmount();

     // Try to trigger progress after unmount - should not throw
     act(() => {
       if (progressCallback) {
         progressCallback({
           step: 'creating',
           message: 'Creating...',
         });
       }
     });

-    // State should remain at initial values (component is unmounted)
-    // This test ensures no errors are thrown when updating unmounted component
+    // Note: After unmount, result.current still holds the last snapshot
+    // The key verification is that no React warning about updating unmounted component occurs
   });

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change

	it('should not update state after unmount', async () => {
	const { unmount } = renderHook(() => useCondaSetup({ type: 'app' }));
	unmount();
	// Try to trigger progress after unmount - should not throw
	act(() => {
	if (progressCallback) {
	progressCallback({
	step: 'creating',
	message: 'Creating...',
	});
	}
	});
	// State should remain at initial values (component is unmounted)
	// This test ensures no errors are thrown when updating unmounted component
	});
	it('should not update state after unmount', async () => {
	const { result, unmount } = renderHook(() => useCondaSetup({ type: 'app' }));
	// Capture initial state
	const initialStep = result.current.step;
	unmount();
	// Try to trigger progress after unmount - should not throw
	act(() => {
	if (progressCallback) {
	progressCallback({
	step: 'creating',
	message: 'Creating...',
	});
	}
	});
	// Note: After unmount, result.current still holds the last snapshot
	// The key verification is that no React warning about updating unmounted component occurs
	});

🤖 Prompt for AI Agents

In `@apps/frontend/src/renderer/hooks/__tests__/useCondaSetup.test.ts` around
lines 526 - 543, The test for useCondaSetup should assert state didn't change
after unmount rather than only ensuring no throw: before unmount capture the
hook's current state (use renderHook(() => useCondaSetup(...)) and read
result.current or spy on the internal updater), then unmount and invoke the
progressCallback inside act; finally assert that the previously captured state
equals the current state (or that the state setter spy wasn't called) to prove
no updates occurred. Reference useCondaSetup, progressCallback, renderHook,
result.current and unmount when locating where to add the pre-unmount snapshot
and the post-callback assertion.

[coderabbitai]

⚠️ Potential issue | 🟡 Minor

Add blank lines around fenced blocks to satisfy markdownlint.

The new bash fences in this section need surrounding blank lines (MD031).

🧼 Suggested fix

-*In `.env` file:*
-```bash
+*In `.env` file:*
+
+```bash
 # Set git provider (optional, defaults to auto-detect)
 GIT_PROVIDER=auto    # auto | github | gitlab

Example Usage:

-bash +bash

Auto-detect provider from git remote (default)

python run.py --spec 001 --create-pr
@@
- +

</details>

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 markdownlint-cli2 (0.18.1)</summary>

284-284: Fenced code blocks should be surrounded by blank lines

(MD031, blanks-around-fences)

---

287-287: Fenced code blocks should be surrounded by blank lines

(MD031, blanks-around-fences)

---

287-287: Fenced code blocks should have a language specified

(MD040, fenced-code-language)

---

289-289: Fenced code blocks should be surrounded by blank lines

(MD031, blanks-around-fences)

</details>

</details>

<details>
<summary>🤖 Prompt for AI Agents</summary>

In @CLAUDE.md around lines 284 - 299, Add blank lines before and after the
fenced code blocks in the CLAUDE.md snippet to satisfy markdownlint rule MD031:
insert an empty line above the "bash" that follows "*In `.env` file:*" and an empty line below its closing "", and likewise add an empty line above the
"bash" that precedes "python run.py --spec 001 --create-pr" and below its closing "" in the Example Usage section so both fenced blocks are separated
from surrounding text.

</details>

<!-- fingerprinting:phantom:medusa:eagle -->

<!-- This is an auto-generated comment by CodeRabbit -->

[coderabbitai]

Review continued from previous batch...

[coderabbitai]

🛠️ Refactor suggestion | 🟠 Major

Use platform abstraction for project_dir resolution.

Line 59-62 uses pathlib.Path/Path.cwd() directly. Backend guidelines require the platform abstraction module for path handling—please switch to the project’s platform path utility. As per coding guidelines, use the platform abstraction module for path handling.

🤖 Prompt for AI Agents

In `@apps/backend/runners/gitlab/providers/gitlab_provider.py` around lines 57 -
79, Replace direct pathlib.Path usage in __post_init__ with the project's
platform path abstraction: instead of using pathlib.Path and Path.cwd(), import
and call the platform path utility (the platform module's Path/cwd or
equivalent) to resolve project_dir from self._project_dir or the platform's
current working directory, then pass that resolved project_dir into GitLabClient
(the _glab_client initialization). Update the import and references so
__post_init__ uses the platform abstraction rather than pathlib.Path.

[coderabbitai]

🧹 Nitpick | 🔵 Trivial

fetch_prs is a stub—make the behavior explicit to callers.

Line 135-141 returns an empty list, which can be misread as “no MRs” rather than “not implemented.” Consider raising NotImplementedError or documenting this more explicitly; fetch_pr_diff is fine as-is.

🤖 Prompt for AI Agents

In `@apps/backend/runners/gitlab/providers/gitlab_provider.py` around lines 135 -
145, Replace the stubbed behavior in fetch_prs so callers don't mistake an empty
list for "no MRs": update the async method fetch_prs to explicitly raise
NotImplementedError with a clear message (e.g., "fetch_prs not implemented for
GitLab provider") or alternatively return a Result/NotImplemented sentinel and
document it in the docstring; keep fetch_pr_diff unchanged. Ensure you reference
the async method name fetch_prs in the GitLab provider class so callers see the
explicit not-implemented signal.

[coderabbitai]

🧹 Nitpick | 🔵 Trivial

🧩 Analysis chain

🏁 Script executed:

#!/bin/bash
# First, read the full PythonPackageValidator.tsx file to understand the context
wc -l apps/frontend/src/renderer/components/settings/PythonPackageValidator.tsx

Repository: AndyMik90/Auto-Claude

Length of output: 142

---

🏁 Script executed:

#!/bin/bash
# Read the file to see the full context of the component and function definitions
cat -n apps/frontend/src/renderer/components/settings/PythonPackageValidator.tsx | head -100

Repository: AndyMik90/Auto-Claude

Length of output: 4479

---

🏁 Script executed:

#!/bin/bash
# Check for eslint configuration files
find . -name ".eslintrc*" -o -name "eslint.config.*" | head -20

Repository: AndyMik90/Auto-Claude

Length of output: 98

---

🏁 Script executed:

#!/bin/bash
# Continue reading the file to find validateEnvironment function
cat -n apps/frontend/src/renderer/components/settings/PythonPackageValidator.tsx | sed -n '100,200p'

Repository: AndyMik90/Auto-Claude

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Add function dependencies to useEffect or wrap functions in useCallback.

The checkPackages() and validateEnvironment() functions are called within the effect but not included in the dependency array. ESLint's exhaustive-deps rule (configured as warn) will flag this. While the current pattern works due to the setTimeout deferral and ref check, wrap these functions with useCallback to satisfy the linter and prevent potential stale closure issues if the effect logic changes.

🤖 Prompt for AI Agents

In `@apps/frontend/src/renderer/components/settings/PythonPackageValidator.tsx`
around lines 39 - 58, The useEffect in PythonPackageValidator references
checkPackages and validateEnvironment but does not include them in its
dependency array; to satisfy exhaustive-deps and avoid stale closures, wrap
checkPackages and validateEnvironment in useCallback (exporting from the
component scope) so their identities are stable, then add them to the effect
dependencies (i.e., change the dependency array to [pythonPath,
activationScript, checkPackages, validateEnvironment]) or alternatively include
the callbacks directly if you prefer to memoize them where they are declared.

[coderabbitai]

🧹 Nitpick | 🔵 Trivial

Replace native confirm() with a proper modal dialog.

Using the browser's native confirm() dialog (line 160) doesn't fit well with Electron app UX patterns. Consider using a proper modal component that matches the application's design system.

Additionally, the warning text contains special characters (⚠️) that may not render consistently and hardcoded English strings that should be translated.

🤖 Prompt for AI Agents

In `@apps/frontend/src/renderer/components/settings/PythonPackageValidator.tsx`
around lines 154 - 197, In handleReinstallEnvironment replace the native
confirm() call with the app's modal dialog component (e.g., openConfirmModal or
ConfirmDialog) so the confirmation follows the Electron/React UX; present the
same warning text via i18n keys (do not use the ⚠️ emoji inline) and await the
modal result (promise/callback) before proceeding, only calling
window.electronAPI.reinstallPythonEnvironment when the user confirms; ensure the
modal exposes a clear destructive action label, cancel path, and proper
focus/ARIA so dismissing cancels the reinstall flow and the existing
setReinstalling/setError/state updates remain unchanged.

[coderabbitai]

⚠️ Potential issue | 🟠 Major

Hardcoded user-facing strings violate i18n guidelines.

Multiple hardcoded strings in the JSX need translation keys. As per the coding guidelines, all user-facing text in frontend components must use i18n translation keys.

Strings requiring translation

Lines that need t() calls:

• Line 214: "Validating Python environment..."
• Line 215: "This may take a few seconds"
• Line 222: "Error"
• Line 234: "Validating Python environment..."
• Lines 245-247: Status messages ("Python not found", "Wrong version: ...", "Validation error")
• Lines 252-257: Guidance messages
• Line 267: "Reinstall Python Environment"
• Line 290: "Install location:"
• Line 325: "Missing packages"
• Line 348: "Installation Output:"
• Line 350: "Starting installation..."

Example fix for loading overlay

       {isInitialValidation && (
         <div className="absolute inset-0 bg-background/80 backdrop-blur-sm z-10 flex flex-col items-center justify-center rounded-lg">
           <Loader2 className="h-8 w-8 animate-spin text-primary mb-3" />
-          <p className="text-sm font-medium text-foreground">Validating Python environment...</p>
-          <p className="text-xs text-muted-foreground mt-1">This may take a few seconds</p>
+          <p className="text-sm font-medium text-foreground">{t('python.validatingEnvironment')}</p>
+          <p className="text-xs text-muted-foreground mt-1">{t('python.validatingHint')}</p>
         </div>
       )}

🤖 Prompt for AI Agents

In `@apps/frontend/src/renderer/components/settings/PythonPackageValidator.tsx`
around lines 208 - 226, The JSX in PythonPackageValidator contains hardcoded
user-facing strings (e.g., the loading overlay text, error header/body, status
messages like "Python not found", "Wrong version: ...", guidance messages,
button label "Reinstall Python Environment", "Install location:", "Missing
packages", "Installation Output:", "Starting installation...") and must be
replaced with i18n keys using the t() function; update the component
(PythonPackageValidator) to import and use useTranslation()/t, replace each
literal string in elements controlled by isInitialValidation, error, status
display logic, guidance blocks, buttons, and labels with appropriate t('...')
keys (preserve dynamic interpolations like version values via t('key', { version
})) and ensure any new translation keys are added to the locale files.

[coderabbitai]

⚠️ Potential issue | 🟠 Major

Don’t restart a task if feedback fails to save.

saveFeedbackForNextSubtask catches errors and returns void, so saveFeedbackAndRestartTask will stop/restart even when the save failed—users lose feedback but see a restart. Make the save step return success (or throw) and abort the restart on failure.

🔧 Proposed fix

-  const saveFeedbackForNextSubtask = async () => {
-    if (!newFeedback.trim()) return;
+  const saveFeedbackForNextSubtask = async (): Promise<boolean> => {
+    if (!newFeedback.trim()) return false;
@@
-      setNewFeedback('');
+      setNewFeedback('');
+      return true;
     } catch (error) {
       console.error('Failed to save feedback:', error);
+      return false;
     } finally {
       setIsSaving(false);
     }
   };
@@
-    // Save feedback first
-    await saveFeedbackForNextSubtask();
+    // Save feedback first; abort if it fails
+    const saved = await saveFeedbackForNextSubtask();
+    if (!saved) return;

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change

	const saveFeedbackForNextSubtask = async () => {
	if (!newFeedback.trim()) return;
	setIsSaving(true);
	try {
	const feedbackEntry: FeedbackEntry = {
	timestamp: new Date().toISOString(),
	message: newFeedback.trim(),
	read: false
	};
	const updatedFeedback = [...feedbackHistory, feedbackEntry];
	await window.electronAPI.updateTaskMetadata(task.id, {
	...metadata,
	feedback: updatedFeedback
	});
	setFeedbackHistory(updatedFeedback);
	setMetadata({ ...metadata, feedback: updatedFeedback });
	setNewFeedback('');
	} catch (error) {
	console.error('Failed to save feedback:', error);
	} finally {
	setIsSaving(false);
	}
	};
	/**
	* Shows confirmation dialog for immediate feedback application.
	* Only available when task is actively running.
	*/
	const promptApplyFeedbackNow = () => {
	if (!newFeedback.trim()) return;
	setShowApplyNowDialog(true);
	};
	/**
	* Saves new feedback and immediately stops/restarts the running task.
	* Use this for urgent corrections that cannot wait for the next subtask.
	*
	* Flow:
	* 1. Save feedback to task_metadata.json
	* 2. Stop the running task
	* 3. Poll until task stops (max 10 seconds)
	* 4. Restart task to pick up feedback immediately
	*/
	const saveFeedbackAndRestartTask = async () => {
	setShowApplyNowDialog(false);
	// Save feedback first
	await saveFeedbackForNextSubtask();
	// Stop the task
	stopTask(task.id);
	// Poll for task to stop, then restart
	let attempts = 0;
	const maxAttempts = 20; // 10 seconds max
	const checkInterval = 500; // Check every 500ms
	const pollAndRestart = async () => {
	try {
	// Get fresh task status
	const tasks = await window.electronAPI.getTasks(task.projectId);
	const currentTask = tasks.data?.find((t: any) => t.id === task.id);
	if (!currentTask) {
	console.error('Task not found after stop');
	return;
	}
	// Check if task has stopped
	const isStopped = currentTask.status !== 'in_progress';
	if (isStopped) {
	// Task stopped successfully, restart it
	console.log('Task stopped, restarting with feedback...');
	startTask(task.id);
	} else if (attempts < maxAttempts) {
	// Keep polling
	attempts++;
	setTimeout(pollAndRestart, checkInterval);
	} else {
	console.error('Task failed to stop after 10 seconds, attempting restart anyway');
	startTask(task.id);
	}
	} catch (error) {
	console.error('Failed to check task status:', error);
	// Try to restart anyway
	startTask(task.id);
	}
	};
	// Start polling after initial delay
	setTimeout(pollAndRestart, checkInterval);
	};
	const saveFeedbackForNextSubtask = async (): Promise<boolean> => {
	if (!newFeedback.trim()) return false;
	setIsSaving(true);
	try {
	const feedbackEntry: FeedbackEntry = {
	timestamp: new Date().toISOString(),
	message: newFeedback.trim(),
	read: false
	};
	const updatedFeedback = [...feedbackHistory, feedbackEntry];
	await window.electronAPI.updateTaskMetadata(task.id, {
	...metadata,
	feedback: updatedFeedback
	});
	setFeedbackHistory(updatedFeedback);
	setMetadata({ ...metadata, feedback: updatedFeedback });
	setNewFeedback('');
	return true;
	} catch (error) {
	console.error('Failed to save feedback:', error);
	return false;
	} finally {
	setIsSaving(false);
	}
	};
	/**
	* Shows confirmation dialog for immediate feedback application.
	* Only available when task is actively running.
	*/
	const promptApplyFeedbackNow = () => {
	if (!newFeedback.trim()) return;
	setShowApplyNowDialog(true);
	};
	/**
	* Saves new feedback and immediately stops/restarts the running task.
	* Use this for urgent corrections that cannot wait for the next subtask.
	*
	* Flow:
	* 1. Save feedback to task_metadata.json
	* 2. Stop the running task
	* 3. Poll until task stops (max 10 seconds)
	* 4. Restart task to pick up feedback immediately
	*/
	const saveFeedbackAndRestartTask = async () => {
	setShowApplyNowDialog(false);
	// Save feedback first; abort if it fails
	const saved = await saveFeedbackForNextSubtask();
	if (!saved) return;
	// Stop the task
	stopTask(task.id);
	// Poll for task to stop, then restart
	let attempts = 0;
	const maxAttempts = 20; // 10 seconds max
	const checkInterval = 500; // Check every 500ms
	const pollAndRestart = async () => {
	try {
	// Get fresh task status
	const tasks = await window.electronAPI.getTasks(task.projectId);
	const currentTask = tasks.data?.find((t: any) => t.id === task.id);
	if (!currentTask) {
	console.error('Task not found after stop');
	return;
	}
	// Check if task has stopped
	const isStopped = currentTask.status !== 'in_progress';
	if (isStopped) {
	// Task stopped successfully, restart it
	console.log('Task stopped, restarting with feedback...');
	startTask(task.id);
	} else if (attempts < maxAttempts) {
	// Keep polling
	attempts++;
	setTimeout(pollAndRestart, checkInterval);
	} else {
	console.error('Task failed to stop after 10 seconds, attempting restart anyway');
	startTask(task.id);
	}
	} catch (error) {
	console.error('Failed to check task status:', error);
	// Try to restart anyway
	startTask(task.id);
	}
	};
	// Start polling after initial delay
	setTimeout(pollAndRestart, checkInterval);
	};

🤖 Prompt for AI Agents

In `@apps/frontend/src/renderer/components/task-detail/TaskFeedback.tsx` around
lines 85 - 181, The save step (saveFeedbackForNextSubtask) currently swallows
errors and returns void, so saveFeedbackAndRestartTask proceeds to stop/restart
even when saving failed; change saveFeedbackForNextSubtask to return a boolean
success or rethrow the error (propagate failure) by removing the silent catch or
returning true/false, and update saveFeedbackAndRestartTask to await the save,
check the result (or catch the thrown error) and abort the stop/restart flow if
saving failed (do not call stopTask/startTask and keep the apply dialog open or
surface the error); reference saveFeedbackForNextSubtask and
saveFeedbackAndRestartTask when applying these changes.

[coderabbitai]

⚠️ Potential issue | 🟠 Major

🧩 Analysis chain

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Replace all hardcoded UI strings with i18n keys.

This new component introduces extensive user-facing text (headers, descriptions, button labels, status messages, dialog copy, placeholders, and relative-time strings) without localization. Although useTranslation is imported, it is effectively unused—only 7 t() calls exist in 647 lines. All text must use t() with the namespace:section.key format (e.g., tasks:feedback.title), with proper interpolation/pluralization for dynamic content like "entry" vs "entries" and relative timestamps ("Just now", "5m ago", etc.).

Example fixes

- <h3 className="text-lg font-semibold">Task Feedback</h3>
+ <h3 className="text-lg font-semibold">{t('tasks:feedback.title')}</h3>

- if (diffMins < 1) return 'Just now';
- if (diffMins < 60) return `${diffMins}m ago`;
+ if (diffMins < 1) return t('common:time.justNow');
+ if (diffMins < 60) return t('common:time.minutesAgo', { count: diffMins });

- You have {feedbackHistory.filter(f => !f.read).length} unread feedback {feedbackHistory.filter(f => !f.read).length === 1 ? 'entry' : 'entries'}.
+ {t('tasks:feedback.unreadCount', { count: unreadCount })}

🤖 Prompt for AI Agents

In `@apps/frontend/src/renderer/components/task-detail/TaskFeedback.tsx` around
lines 304 - 641, The component currently renders many hardcoded UI strings;
replace them with i18n keys using the existing useTranslation hook and
t('tasks:feedback.<key>') (or similar namespace) for all user-facing
text—identify and update strings in formatTimestamp (use t with
pluralization/relative interpolation for "Just now", "Xm ago", etc.), the New
Feedback placeholder, headers and descriptions (Task Feedback, Task is Running,
Unread Feedback Available, Submit Feedback, Apply Now, Restart Task with
Feedback, Feedback History, No feedback provided yet), all AlertDialog
titles/descriptions/actions (Apply Feedback Immediately?, Restart Task with
Feedback?, Cancel, Apply Now & Restart, Restart with Feedback), dynamic status
labels within the feedbackHistory map (Read by agent, Pending, Pending actions
tooltips), character count, button labels and aria text, and any inline computed
strings (like unread count plurals and unread feedback list). Use t() with
interpolation/pluralization for dynamic values (feedbackHistory.filter(f =>
!f.read).length, timestamp deltas) and ensure calls occur where
functions/handlers like formatTimestamp, saveFeedbackForNextSubtask,
promptApplyFeedbackNow, promptRestartWithFeedback, saveFeedbackAndRestartTask,
restartTaskWithFeedback, startEditingFeedback, deleteFeedbackEntry,
saveEditedFeedbackWithAutoEscalation, cancelEditingFeedback are referenced so
the UI text there uses the new keys.

[coderabbitai]

Actionable comments posted: 7

🤖 Fix all issues with AI agents

In `@apps/backend/agents/coder.py`:
- Around line 403-467: The feedback_section string (constructed when
feedback_text is present and appended to prompt) uses overly absolute language
(e.g., "MUST implement...", "NEVER wrong") that prevents reasonable technical
judgment; modify the text in feedback_section to soften mandates—replace "MUST"
with "should" or "strongly encouraged", change absolutes like "NEVER" to
"generally" or "in most cases", and add an explicit clause that allows the agent
to perform safety/sanity checks and document any deviations using the existing
update_subtask_status and mark_feedback_read workflow (refer to variables
feedback_section, feedback_text, and prompt for where to edit the content).
Ensure the revised wording still emphasizes user priority but explicitly permits
informed technical decisions and requires documenting/marking feedback when
changes are made.
- Around line 644-652: Wrap the call to ImplementationPlan.load(spec_dir /
"implementation_plan.json") in a try/except (or check for a None/invalid return)
to defensively handle load failures: catch exceptions from
ImplementationPlan.load, log or report the error via print_status (or
processLogger) with context, and exit or return early instead of continuing to
access plan.phases; ensure the code references ImplementationPlan.load and
plan.phases so you validate the loaded plan before computing total_phases and
total_subtasks.

In `@apps/backend/agents/tools_pkg/tools/feedback.py`:
- Around line 21-28: Update the create_feedback_tools docstring to reflect that
the second parameter is intentionally unused: change the Args section to
document _project_dir (not project_dir) and note it is unused or reserved (e.g.,
"_project_dir: unused; reserved for API compatibility"), and ensure the
parameter name in the docstring matches the function signature in
create_feedback_tools so the docs are accurate.
- Around line 85-134: The read-modify-write of task_metadata.json
(metadata_file) is not protected against concurrent access: wrap the whole
critical section that opens, loads into metadata, updates feedback_list based on
feedback_indices, and writes back into an in-process async lock (e.g., a
module-level asyncio.Lock named metadata_lock) and use "async with
metadata_lock:" around the block that reads, modifies, and json.dump()s to avoid
lost updates; if multiple processes may run concurrently, also add or suggest a
file lock (e.g., fcntl or portalocker) around the same critical section so both
metadata_lock and a process-level file lock protect the operation.

In `@apps/backend/core/git_provider.py`:
- Around line 35-41: The code currently calls subprocess.run(...) with ["git",
"config", "--get", "remote.origin.url"] in git_provider.py which bypasses the
platform-aware helper; replace that subprocess.run call with the platform-aware
run_git(...) helper (core.git_executable.run_git or the run_git import used in
the project), passing the same args, cwd=project_dir and the equivalent
capture/text/timeout options, and handle the run_git result the same way the
subprocess.CompletedProcess was handled (or adapt to run_git's return
type/errors) so git discovery works on Windows/custom installs.

In `@apps/backend/core/worktree.py`:
- Around line 1029-1062: The PR creation uses the hardcoded "gh" command in
gh_args and subprocess.run (e.g., in do_create_pr and the other call around the
later invocation), causing failures for non-standard installs; add a
platform-aware get_gh_executable() function (mirroring
get_git_executable/get_glab_executable) that resolves the gh binary via
shutil.which and common OS-specific install paths and falls back to "gh" if not
found, then replace the hardcoded "gh" in gh_args and any other subprocess.run
calls with the resolved executable from get_gh_executable(); ensure all
references (gh_args list construction and do_create_pr subprocess.run) use that
function so subprocess calls are robust across platforms.

In `@apps/backend/prompts/roadmap_discovery.md`:
- Around line 97-101: Several fenced bash blocks for progress signals (the lines
beginning with the heading "**After completing this phase, signal progress:**"
followed by ```bash and the echo "[ROADMAP_PROGRESS] ..." lines) are missing a
blank line before the fence causing MD031 warnings; fix by inserting a single
blank line between the preceding sentence/heading and each ```bash fence for all
occurrences (e.g., the blocks containing echo "[ROADMAP_PROGRESS] 42...", 47...,
57..., 62..., 67... and the other occurrences around lines 120-123, 176-179,
191-194, 206-209) so each fenced code block is preceded by one empty line.

♻️ Duplicate comments (6)

apps/backend/prompts/roadmap_discovery.md (1)

187-193: Add concrete competitor analysis steps before signaling completion.

This section still signals completion without any instructions to read and merge competitor_analysis.json insights.

apps/backend/runners/providers/__init__.py (1)

9-9: Sort re-exported imports to satisfy Ruff I001.

🧹 Proposed fix

-from .factory import ProviderConfig, create_provider
+from .factory import create_provider, ProviderConfig

apps/backend/runners/gitlab/providers/gitlab_provider.py (4)

55-63: Use platform abstraction for project_dir resolution.

Line 55-60 uses pathlib.Path directly; backend guidelines require the platform abstraction for path handling. As per coding guidelines, use platform abstraction for path handling.

---

133-139: fetch_prs should not silently return an empty list.

Line 133-139 returning [] reads as “no MRs” rather than “not implemented.” Prefer an explicit NotImplementedError.

✅ Suggested fix

-        # For now, return empty list - would need to implement list_mr in glab_client
-        # This is a placeholder for the full implementation
-        return []
+        raise NotImplementedError("fetch_prs not implemented for GitLab provider")

---

213-226: close_pr reports failure even after posting a note.

Line 223-226 posts a comment but always returns False, which is misleading. Consider raising NotImplementedError until actual close support exists.

✅ Suggested fix

-        if comment:
-            self.glab_client.post_mr_note(pr_number, comment)
-        # TODO: Implement MR closing in glab_client
-        return False
+        if comment:
+            self.glab_client.post_mr_note(pr_number, comment)
+        raise NotImplementedError("close_pr not implemented for GitLab provider")

---

282-330: No-op label/repo methods can silently succeed.

Line 282-330 pass/default returns can mislead callers into believing actions succeeded. Prefer NotImplementedError (or explicit unsupported responses) for label and repository operations.

✅ Suggested fix (apply similarly to the other stubs)

-        # TODO: Implement label operations in glab_client
-        pass
+        raise NotImplementedError("Label operations not implemented for GitLab provider")

[coderabbitai]

🧹 Nitpick | 🔵 Trivial

Consider softening the absolute language in feedback instructions.

The feedback section is comprehensive, but the language at lines 416-422 is extremely prescriptive ("You MUST implement this feedback exactly as stated", "User feedback is NEVER wrong"). This could cause the agent to implement harmful or mistaken feedback without appropriate judgment.

While the instructions at lines 437-441 provide an escape hatch for "informed technical decision with clear justification," the emphatic phrasing above may override this nuance.

💡 Suggested adjustment

Consider balancing the instructions to emphasize user authority while still allowing for sanity checks:

-🚨 MANDATORY INSTRUCTIONS - DO NOT QUESTION OR DISMISS:
-- This feedback takes ABSOLUTE PRIORITY over ALL other considerations
-- You MUST implement this feedback exactly as stated - do NOT evaluate whether it "makes sense"
-- Do NOT dismiss feedback as "not applicable" or "for a different project"
+🚨 HIGH PRIORITY INSTRUCTIONS:
+- User feedback takes priority over the original spec
+- Implement feedback as requested, or document a clear technical reason if you cannot
+- Do NOT dismiss feedback without careful consideration

🤖 Prompt for AI Agents

In `@apps/backend/agents/coder.py` around lines 403 - 467, The feedback_section
string (constructed when feedback_text is present and appended to prompt) uses
overly absolute language (e.g., "MUST implement...", "NEVER wrong") that
prevents reasonable technical judgment; modify the text in feedback_section to
soften mandates—replace "MUST" with "should" or "strongly encouraged", change
absolutes like "NEVER" to "generally" or "in most cases", and add an explicit
clause that allows the agent to perform safety/sanity checks and document any
deviations using the existing update_subtask_status and mark_feedback_read
workflow (refer to variables feedback_section, feedback_text, and prompt for
where to edit the content). Ensure the revised wording still emphasizes user
priority but explicitly permits informed technical decisions and requires
documenting/marking feedback when changes are made.

[coderabbitai]

🧹 Nitpick | 🔵 Trivial

Consider adding a defensive check for ImplementationPlan.load() failure.

While the validator confirmed the plan is valid, ImplementationPlan.load() could still fail (e.g., file modified between validation and load, or load method has different parsing). A try/except would make this more robust.

💡 Suggested defensive pattern

             # Show plan statistics
             from implementation_plan import ImplementationPlan

-            plan = ImplementationPlan.load(spec_dir / "implementation_plan.json")
-            total_phases = len(plan.phases)
-            total_subtasks = sum(len(p.subtasks) for p in plan.phases)
-            print_status(
-                f"Planning complete: {total_phases} phase(s), {total_subtasks} subtask(s)",
-                "success",
-            )
+            try:
+                plan = ImplementationPlan.load(spec_dir / "implementation_plan.json")
+                total_phases = len(plan.phases)
+                total_subtasks = sum(len(p.subtasks) for p in plan.phases)
+                print_status(
+                    f"Planning complete: {total_phases} phase(s), {total_subtasks} subtask(s)",
+                    "success",
+                )
+            except Exception as e:
+                logger.warning(f"Could not load plan statistics: {e}")
+                print_status("Planning complete", "success")

🤖 Prompt for AI Agents

In `@apps/backend/agents/coder.py` around lines 644 - 652, Wrap the call to
ImplementationPlan.load(spec_dir / "implementation_plan.json") in a try/except
(or check for a None/invalid return) to defensively handle load failures: catch
exceptions from ImplementationPlan.load, log or report the error via
print_status (or processLogger) with context, and exit or return early instead
of continuing to access plan.phases; ensure the code references
ImplementationPlan.load and plan.phases so you validate the loaded plan before
computing total_phases and total_subtasks.

[coderabbitai]

⚠️ Potential issue | 🟡 Minor

Update the docstring to reflect _project_dir being intentionally unused.

The argument docs still mention project_dir, which is misleading now that the parameter is _project_dir.

✏️ Proposed fix

-        project_dir: Path to the project root
+        _project_dir: Path to the project root (unused; kept for signature compatibility)

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change

	def create_feedback_tools(spec_dir: Path, _project_dir: Path) -> list:
	"""
	Create feedback management tools.
	Args:
	spec_dir: Path to the spec directory
	project_dir: Path to the project root
	def create_feedback_tools(spec_dir: Path, _project_dir: Path) -> list:
	"""
	Create feedback management tools.
	Args:
	spec_dir: Path to the spec directory
	_project_dir: Path to the project root (unused; kept for signature compatibility)
	Returns:
	List of feedback tool functions
	"""

🤖 Prompt for AI Agents

In `@apps/backend/agents/tools_pkg/tools/feedback.py` around lines 21 - 28, Update
the create_feedback_tools docstring to reflect that the second parameter is
intentionally unused: change the Args section to document _project_dir (not
project_dir) and note it is unused or reserved (e.g., "_project_dir: unused;
reserved for API compatibility"), and ensure the parameter name in the docstring
matches the function signature in create_feedback_tools so the docs are
accurate.

[coderabbitai]

⚠️ Potential issue | 🟠 Major

Guard the read‑modify‑write to avoid lost updates under concurrency.

Concurrent tool calls can race and overwrite each other’s updates to task_metadata.json. Add an in‑process async lock around the critical section (and consider a file lock if multiple processes can run this).

🔒 Proposed fix (in‑process lock)

+import asyncio
 import json
 from pathlib import Path
 from typing import Any
@@
+_feedback_lock = asyncio.Lock()
@@
-        metadata_file = spec_dir / "task_metadata.json"
-        if not metadata_file.exists():
-            return {
-                "content": [
-                    {
-                        "type": "text",
-                        "text": "Error: task_metadata.json not found",
-                    }
-                ]
-            }
-
-        try:
-            with open(metadata_file) as f:
-                metadata = json.load(f)
+        metadata_file = spec_dir / "task_metadata.json"
+        try:
+            async with _feedback_lock:
+                if not metadata_file.exists():
+                    return {
+                        "content": [
+                            {
+                                "type": "text",
+                                "text": "Error: task_metadata.json not found",
+                            }
+                        ]
+                    }
+
+                with open(metadata_file) as f:
+                    metadata = json.load(f)
@@
-            with open(metadata_file, "w") as f:
-                json.dump(metadata, f, indent=2)
+                with open(metadata_file, "w") as f:
+                    json.dump(metadata, f, indent=2)

🤖 Prompt for AI Agents

In `@apps/backend/agents/tools_pkg/tools/feedback.py` around lines 85 - 134, The
read-modify-write of task_metadata.json (metadata_file) is not protected against
concurrent access: wrap the whole critical section that opens, loads into
metadata, updates feedback_list based on feedback_indices, and writes back into
an in-process async lock (e.g., a module-level asyncio.Lock named metadata_lock)
and use "async with metadata_lock:" around the block that reads, modifies, and
json.dump()s to avoid lost updates; if multiple processes may run concurrently,
also add or suggest a file lock (e.g., fcntl or portalocker) around the same
critical section so both metadata_lock and a process-level file lock protect the
operation.

[coderabbitai]

⚠️ Potential issue | 🟠 Major

🧩 Analysis chain

🏁 Script executed:

# Find the git_provider.py file
fd -t f "git_provider.py" apps/backend/

Repository: AndyMik90/Auto-Claude

Length of output: 98

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🏁 Script executed:

# Check if core.git_executable module exists
fd -t f "git_executable" apps/backend/

Repository: AndyMik90/Auto-Claude

Length of output: 100

---

🏁 Script executed:

# List files in apps/backend/core/ to understand structure
ls -la apps/backend/core/ 2>/dev/null | head -20 || find apps/backend/core -type f -name "*.py" | head -20

Repository: AndyMik90/Auto-Claude

Length of output: 1147

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🏁 Script executed:

# Read git_provider.py with line numbers, focus on lines 35-41
cat -n apps/backend/core/git_provider.py | head -50

Repository: AndyMik90/Auto-Claude

Length of output: 1589

---

🏁 Script executed:

# Read git_executable.py to check available functions
cat -n apps/backend/core/git_executable.py

Repository: AndyMik90/Auto-Claude

Length of output: 5608

---

Route git detection through platform-aware helpers.

Line 35-41 invokes git directly via subprocess.run(), bypassing the platform abstraction provided by core.git_executable.run_git(). This risks failures on custom-path installs, Windows environments, or systems where git is not in PATH. Use run_git() instead, which handles executable discovery across platforms.

Suggested fix

-import subprocess
+from core.git_executable import run_git
@@
-        result = subprocess.run(
-            ["git", "config", "--get", "remote.origin.url"],
-            cwd=project_dir,
-            capture_output=True,
-            text=True,
-            timeout=5,
-        )
+        result = run_git(
+            ["config", "--get", "remote.origin.url"],
+            cwd=project_dir,
+            timeout=5,
+        )

🤖 Prompt for AI Agents

In `@apps/backend/core/git_provider.py` around lines 35 - 41, The code currently
calls subprocess.run(...) with ["git", "config", "--get", "remote.origin.url"]
in git_provider.py which bypasses the platform-aware helper; replace that
subprocess.run call with the platform-aware run_git(...) helper
(core.git_executable.run_git or the run_git import used in the project), passing
the same args, cwd=project_dir and the equivalent capture/text/timeout options,
and handle the run_git result the same way the subprocess.CompletedProcess was
handled (or adapt to run_git's return type/errors) so git discovery works on
Windows/custom installs.

[coderabbitai]

⚠️ Potential issue | 🟠 Major

🧩 Analysis chain

🏁 Script executed:

# First, let's check the structure and find the relevant files
git ls-files apps/backend/core/ | grep -E "(worktree|gh_executable|git_executable)" | head -20

Repository: AndyMik90/Auto-Claude

Length of output: 130

---

🏁 Script executed:

# Check the specific lines mentioned in the review
sed -n '1025,1065p' apps/backend/core/worktree.py | cat -n

Repository: AndyMik90/Auto-Claude

Length of output: 1673

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🏁 Script executed:

# Also check lines 1341-1349
sed -n '1337,1352p' apps/backend/core/worktree.py | cat -n

Repository: AndyMik90/Auto-Claude

Length of output: 713

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🏁 Script executed:

# Search for any existing executable detection modules
fd -e py . apps/backend/core/ | xargs grep -l "get_.*_executable\|get_executable" 2>/dev/null

Repository: AndyMik90/Auto-Claude

Length of output: 171

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🏁 Script executed:

# Check if gh_executable module exists
ls -la apps/backend/core/gh_executable.py 2>/dev/null || echo "Module not found"

Repository: AndyMik90/Auto-Claude

Length of output: 81

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🏁 Script executed:

# Check the git_executable module to understand the pattern
cat apps/backend/core/git_executable.py

Repository: AndyMik90/Auto-Claude

Length of output: 4614

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# Search for all "gh" hardcoded invocations in worktree.py
rg '"gh"' apps/backend/core/worktree.py -n

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head -50 apps/backend/core/worktree.py | cat -n

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find apps/backend -name "*platform*" -type f

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sed -n '39,80p' apps/backend/core/worktree.py | cat -n

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🏁 Script executed:

# Search for any existing gh_executable or github executable finder
rg "get_gh_executable|gh_executable|github.*executable" apps/backend/ --type py

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🏁 Script executed:

# Check the full context around the gh usages to understand better
sed -n '1020,1075p' apps/backend/core/worktree.py | cat -n

Repository: AndyMik90/Auto-Claude

Length of output: 2371

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Create platform-aware get_gh_executable() function instead of hardcoding "gh" invocations.

Lines 1030 and 1343 hardcode "gh" directly in subprocess calls, which fails on custom GitHub CLI installations and non-standard paths. The codebase already follows this pattern for other CLIs (e.g., get_git_executable(), get_glab_executable()). Add a similar executable discovery function that checks PATH and common installation locations before falling back to the bare command name.

This aligns with the coding guideline requiring platform-aware executable detection instead of hardcoded paths.

🤖 Prompt for AI Agents

In `@apps/backend/core/worktree.py` around lines 1029 - 1062, The PR creation uses
the hardcoded "gh" command in gh_args and subprocess.run (e.g., in do_create_pr
and the other call around the later invocation), causing failures for
non-standard installs; add a platform-aware get_gh_executable() function
(mirroring get_git_executable/get_glab_executable) that resolves the gh binary
via shutil.which and common OS-specific install paths and falls back to "gh" if
not found, then replace the hardcoded "gh" in gh_args and any other
subprocess.run calls with the resolved executable from get_gh_executable();
ensure all references (gh_args list construction and do_create_pr
subprocess.run) use that function so subprocess calls are robust across
platforms.

[coderabbitai]

⚠️ Potential issue | 🟡 Minor

Add blank lines before the progress fences (MD031).

Markdownlint requires a blank line before fenced blocks; these progress signal blocks still sit flush to the preceding sentence.

🧹 Proposed fix (add blank lines before fences)

-**After completing this phase, signal progress:**
-```bash
+**After completing this phase, signal progress:**
+
+```bash
 echo "[ROADMAP_PROGRESS] 42 Analyzed project structure and dependencies"

@@
-After completing this phase, signal progress:
-bash +**After completing this phase, signal progress:** + +bash
echo "[ROADMAP_PROGRESS] 47 Identified project purpose and value proposition"

@@
-**After completing this phase, signal progress:**
-```bash
+**After completing this phase, signal progress:**
+
+```bash
echo "[ROADMAP_PROGRESS] 57 Assessed project maturity and existing features"

@@
-After completing this phase, signal progress:
-bash +**After completing this phase, signal progress:** + +bash
echo "[ROADMAP_PROGRESS] 62 Analyzed competitive landscape"

@@
-**After completing this phase, signal progress:**
-```bash
+**After completing this phase, signal progress:**
+
+```bash
echo "[ROADMAP_PROGRESS] 67 Identified technical and resource constraints"

</details>


Also applies to: 120-123, 176-179, 191-194, 206-209

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 markdownlint-cli2 (0.18.1)</summary>

98-98: Fenced code blocks should be surrounded by blank lines

(MD031, blanks-around-fences)

</details>

</details>

<details>
<summary>🤖 Prompt for AI Agents</summary>

In @apps/backend/prompts/roadmap_discovery.md around lines 97 - 101, Several
fenced bash blocks for progress signals (the lines beginning with the heading
"After completing this phase, signal progress:" followed by bash and the echo "[ROADMAP_PROGRESS] ..." lines) are missing a blank line before the fence causing MD031 warnings; fix by inserting a single blank line between the preceding sentence/heading and each bash fence for all occurrences (e.g., the
blocks containing echo "[ROADMAP_PROGRESS] 42...", 47..., 57..., 62..., 67...
and the other occurrences around lines 120-123, 176-179, 191-194, 206-209) so
each fenced code block is preceded by one empty line.

</details>

<!-- fingerprinting:phantom:poseidon:eagle -->

<!-- This is an auto-generated comment by CodeRabbit -->

[jasonnator]

Closing PR due to #1229 better implementation.